CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Extraction of rules from discrete-time recurrent neural networks
Neural Networks
Neural maps and topographic vector quantization
Neural Networks
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
On the Pattern Recognition of Noisy Subsequence Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Knowledge Is Power: The Semantic Web Vision
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
A Self-Organizing Network that Can Follow Non-stationary Distributions
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2 - Volume 2
Symbolic dynamic programming for first-order MDPs
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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We propose a dynamic mapping of the operation of the Growing Neural Gas model to Situation Calculus, with the purpose of grounding the relatively higher level concepts of Situation Calculus to lower level signals. Since both the Situation Calculus and the Growing Neural Gas model were conceived with the express purpose of describing dynamic phenomena, this transformation is natural. We believe that the transformation will also be useful in data mining tasks. Finally, we present experimental results as an early evaluation of our method.